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Duration 14 hours
Course Outline
Comprehending Agentic AI
- Defining autonomous workflows and agentic systems
- Contrasting agentic AI with conventional automation
- The current landscape and developing capabilities
Enterprise Preparedness and Practical Applications
- High-impact applications across various sectors
- Assessing feasibility and return on investment
- Design principles for agent-based processes
Workforce Models Enhanced by AI
- Distinguishing between task-level augmentation and full automation
- Models for collaboration between humans and AI
- Redefining roles and skill frameworks
Governance, Trust, and Risk Oversight
- Expectations regarding transparency and explainability
- Operational risks and system dependability
- Ethical and regulatory implications
Change Management and Adoption Approaches
- Equipping leaders and teams for AI-driven change
- Addressing cultural resistance and skill transitions
- Developing AI literacy throughout the organization
Workflow Integration and Infrastructure
- Linking agentic AI with existing systems
- Requirements for data pipelines and orchestration
- Monitoring and lifecycle management
Future Scenarios and Strategic Planning
- The evolution of the workplace over the coming decade
- New job categories and capabilities on the horizon
- Strategic frameworks for long-term planning
Summary and Next Steps
Requirements
- A grasp of organizational digital transformation
- Practical experience in business process analysis
- Knowledge of AI terminology
Target Audience
- Business executives
- HR leaders
- Innovation managers
Testimonials (3)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
The mix of theory and practice and of high level and low level perspectives
